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Role of IOOS in fisheries science and management? Power of IOOS data Models of fish distribution & abundance Models useful for management Future applications.

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Presentation on theme: "Role of IOOS in fisheries science and management? Power of IOOS data Models of fish distribution & abundance Models useful for management Future applications."— Presentation transcript:

1 Role of IOOS in fisheries science and management? Power of IOOS data Models of fish distribution & abundance Models useful for management Future applications

2 What can we measure without going to sea that fish “care” about?

3 Benthic Depth (log-transformed) Profile curvature Slope (residuals vs. depth) Sediment grain size IOOS SST 488 nm reflectance 551 nm reflectance (residuals vs. 488 nm) Cross-shore velocity Variance in cross-shore velocity Divergence trend Mixed-layer depth Simpson’s PE (limited to top 30 m) Bottom temp Bottom salinity (residuals vs. depth) CTD Multivariate Analysis Final Environmental Variables Used

4 Temp Depth 551 nm resids

5 Statistical models of fish-habitat association Benthic Depth (log-transformed) Profile curvature Slope (residuals vs. depth) Sediment grain size IOOS SST 488 nm reflectance 551 nm reflectance (residuals vs. 488 nm) Cross-shore velocity Variance in cross-shore velocity Divergence trend CTD Mixed-layer depth Simpson’s PE (limited to top 30 m) Bottom temp Bottom salinity (residuals vs. depth) CTD Habitat data Example: Longfin squid (live one year) Prey for fish, seabirds, sharks, seals, whales Predator of young stages of fish & crabs (eat ~500,000 tons of prey yr; ~33 x annual production of Fluke)

6 CPUE= bottom temperature + sediment grain size + current divergence + N488 radiance +(depth x SST) + (cross x along shelf current v) Preliminary squid model (adjusted R 2 = 0.85) IOOS Increased model power ~12-20%

7 Divergence HF radar Divergence potential Longfin squid Test in IOOS informed studies of habitat on movement, growth, mortality & reproductive rates Hypothesis: Upwelling & 1’+2’ production => high squid growth & size dependent survival? upwellingdownwelling HF radar divergence & upwelling-downwelling potential Upwelling Down welling

8 Models useful for Fisheries Management, stock assessement, spatial planning? Need natural (& fishing) mortalities for stock assessments –Spiny dogfish may eat 25,000 to 120,000 tons of squid a year. (Fishery harvest in 2007: 12,300 tons) –IOOS informed models of dogfish, squid distributions & habitat specific encounter rates. Where/when is natural mortality likely to be high? Bycatch of butterfish in squid fishery –Under what habitat conditions do squid & butterfish co-occur? –Use IOOS to tell squid fisherman where to fish avoid large butterfish bycatch. Two examples:

9 Temperature Salinity b b (532)/c(532) Optical backscatter b b 532 Ecosystem Monitoring: Cold pool dynamics, Climate change & Fish Recruitment Recruitment of some species in MAB tied to Cold Pool Dynamics (e.g. yellowtail flounder, surf clams) Timing of Cold Pool turnover & bottom warming may affect survival of early stages of some MAB species. What are the mechanisms?

10 Online survey (43 Atlantic coast scientists & managers) Presentation to MAFMC (June 2009) Coordination with SSC Interviews about current research needs Relevance to Resource Management?


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